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Insurance anti-fraud identification method and device based on artificial intelligence, equipment and medium

An identification method and artificial intelligence technology, applied in the fields of instruments, electrical digital data processing, finance, etc., can solve problems such as long traversal time and failure to meet business requirements, and achieve the effect of improving traversal efficiency and reducing traversal time

Pending Publication Date: 2022-07-08
PING AN TECH (SHENZHEN) CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to address the above technical problems and provide an artificial intelligence-based insurance anti-fraud identification method, device, equipment, and medium to solve the problem of directly traversing the insurance map database to retrieve fraudulent networks in the prior art, which takes a long time to traverse and cannot Questions about meeting business requirements

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  • Insurance anti-fraud identification method and device based on artificial intelligence, equipment and medium
  • Insurance anti-fraud identification method and device based on artificial intelligence, equipment and medium
  • Insurance anti-fraud identification method and device based on artificial intelligence, equipment and medium

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Embodiment Construction

[0028] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0029] It is to be understood that the term "comprising" when used in the present specification and appended claims indicates the presence of the described feature, integer, step, operation, element and / or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and / or sets thereof.

[0030]...

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Abstract

The invention is suitable for the field of artificial intelligence, and particularly relates to an insurance anti-fraud identification method and device based on artificial intelligence, equipment and a medium. According to the method, an insurance relationship network is updated through first target edges and second target edges, and a first person node and a second person node which are connected with each other through at least two first target edges in the insurance relationship network are traversed; and when traversing that the first person node is connected with the second person node through the first target edge and / or the second target edge on other associated paths, judging that all person nodes on the other associated paths are suspected fraud gang members, and directly traversing the updated network relationship through the target edges to determine the suspected fraud gang members. The traversal times of the target node, the edge and the path are reduced, the traversal time is shortened, and the traversal efficiency is improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to an insurance anti-fraud identification method, device, equipment and medium based on artificial intelligence. Background technique [0002] At present, the analysis of gang fraud in the insurance industry is mainly carried out through the method of risk closed-loop retrieval. The risk closed-loop retrieval method is usually based on the graph database, looking for abnormal rings or radial networks between different entities in the graph database. These networks It usually corresponds to the common crime patterns of fraud gangs, and it is possible to find out the common crime tools. [0003] However, when the data scale is large, after importing the business data into the graph database, the following results are obtained. figure 1 The graph database shown, the graph database contains hundreds of millions of nodes, using this method to directly traverse the graph da...

Claims

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Application Information

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IPC IPC(8): G06Q40/08G06F16/2457
CPCG06Q40/08G06F16/2457
Inventor 陈昊宇王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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